Title | ||
---|---|---|
Optimal Robust Output Containment of Unknown Heterogeneous Multiagent System Using Off-Policy Reinforcement Learning. |
Abstract | ||
---|---|---|
This paper investigates optimal robust output containment problem of general linear heterogeneous multiagent systems (MAS) with completely unknown dynamics. A modelbased algorithm using offline policy iteration (PI) is first developed, where the p-copy internal model principle is utilized to address the system parameter variations. This offline PI algorithm requires the nominal model of each agent... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TCYB.2017.2761878 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Robustness,Heuristic algorithms,Mathematical model,System dynamics,Learning (artificial intelligence),Multi-agent systems,Real-time systems | Mathematical optimization,Control theory,Multi-agent system,Bellman equation,Robustness (computer science),System dynamics,Containment,Mathematics,Internal model,Bounded function,Reinforcement learning | Journal |
Volume | Issue | ISSN |
48 | 11 | 2168-2267 |
Citations | PageRank | References |
8 | 0.43 | 32 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shan Zuo | 1 | 57 | 4.52 |
Yong-Duan Song | 2 | 1949 | 108.61 |
FRANK L. LEWIS | 3 | 5782 | 402.68 |
Ali Davoudi | 4 | 347 | 35.39 |